Job Title: Technology and Transformation - EAD - Engineering -Senior Consultant /Consultant - AWS
Job Summary:
We are seeking a highly skilled SQL Data Analyst with exceptional proficiency in writing complex SQL queries and developing insightful dashboards using Power BI or Tableau. The ideal candidate will have a strong analytical mindset, attention to detail, and the ability to turn data into actionable insights for business stakeholders.
Key Responsibilities:
• Design, develop, and optimize complex SQL queries to extract, transform, and analyze data from various relational databases.
• Create and maintain interactive dashboards and reports in Power BI or Tableau to support business decision-making.
• Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
• Perform data profiling, validation, and quality checks to ensure accuracy and reliability of insights.
• Identify data trends, anomalies, and patterns to support business strategy and operations.
• Automate reporting processes and implement best practices in data visualization and storytelling.
• Support data governance and ensure compliance with data privacy and security standards.
Required Skills and Qualifications:
• Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
• 3+ years of hands-on experience with SQL; strong ability to write complex queries, CTEs, subqueries, joins, and window functions.
• 2+ years of experience in building dashboards using Power BI or Tableau.
• Experience working with large datasets and data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Strong understanding of data modeling concepts (star/snowflake schema).
• Excellent problem-solving skills and ability to work independently or in a team environment.
• Strong communication skills to interact with technical and non-technical stakeholders.
Preferred Qualifications:
• Experience with DAX (for Power BI) or Tableau calculations.
• Familiarity with scripting languages like Python or R is a plus.
• Exposure to cloud platforms (AWS, Azure, GCP) and data pipelines is advantageous.